Evidence map›Paper›PMID 23746449›Full record

ArticleCell reports2013

Systematic triple-mutant analysis uncovers functional connectivity between pathways involved in chromosome regulation.

James E Haber, Hannes Braberg, Qiuqin Wu, Richard Alexander, Julian Haase, Colm Ryan, Zach Lipkin-Moore, Kathleen E Franks-Skiba, Tasha Johnson, Michael Shales and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Retention of duplicated genes in evolution.Trends in genetics : TIG · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Synthetic ablations in theNetwork neuroscience (Cambridge, Mass.) · 2020
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mapping a diversity of genetic interactions in yeast.Current opinion in systems biology · 2017
    Article
  18. Synthetic lethality and cancer.Nature reviews. Genetics · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

James E HaberDepartment of Biology and Rosenstiel Basic Medical Sciences Research Center, Waltham, MA 02454, USA. haber@brandeis.edu
Hannes Braberg
Qiuqin Wu
Richard Alexander
Julian Haase
Colm Ryan
Zach Lipkin-Moore
Kathleen E Franks-Skiba
Tasha Johnson
Michael Shales
Tineke L Lenstra
Frank C P Holstege
Jeffrey R Johnson
Kerry Bloom
Nevan J Krogan
University of California, San Francisco · USQB3 · USUniversity Medical Center Utrecht · NLUniversity of North Carolina at Chapel Hill · USBrandeis University · USGladstone Institutes · US

Funding

Rewiring Therapeutic Cells: User-Controlled T Cells and Stem CellsP50GM081879 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2010 to 2017
$19.0M
Recombination Mechanisms in Yeast Cell DifferentiationR37GM020056 · NIGMS · BRANDEIS UNIVERSITY · PI HABER, JAMES E · 2007 to 2016
$5.5M
Structure and Function of a Eukaryotic CentromereR37GM032238 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BLOOM, KERRY S, YEH, ELAINE YING · 2011 to 2020
$5.2M
Arrest, Recovery, and Adaptation from DNA DamageR01GM061766 · NIGMS · BRANDEIS UNIVERSITY · PI HABER, JAMES E · 2001 to 2016
$4.6M
Comparative Analysis of Genetic Interaction NetworksR01GM084279 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY, KROGAN, NEVAN J · 2008 to 2017
$3.9M
RECOMBINATION MECHANISMS IN YEAST CELL DIFFERENTIATIONR01GM020056 · NIGMS · BRANDEIS UNIVERSITY · PI HABER, JAMES E · 1985 to 2006
$3.4M
Genetic Analysis of the Nucleosome and RNA Polymerase II: A Systems ApproachR01GM084448 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KROGAN, NEVAN J · 2008 to 2012
$2.3M
Integrating computation and genetics to quantify specificity in protein networksR01GM098101 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA, KROGAN, NEVAN J · 2011 to 2014
$1.7M
NIGMS NIH HHS GM081879NIGMS NIH HHS GM084279NIGMS NIH HHS GM084448NIGMS NIH HHS GM098101NIGMS NIH HHS GM20056NIGMS NIH HHS GM61766NIGMS NIH HHS P50 GM081879NIGMS NIH HHS R01 GM020056NIGMS NIH HHS R01 GM061766NIGMS NIH HHS R01 GM084279NIGMS NIH HHS R01 GM084448NIGMS NIH HHS R01 GM098101NIGMS NIH HHS R37 GM020056NIGMS NIH HHS R37 GM032238NIGMS NIH HHS R37 GM32238
6 · The paper itself

Abstract

Genetic interactions reveal the functional relationships between pairs of genes. In this study, we describe a method for the systematic generation and quantitation of triple mutants, termed triple-mutant analysis (TMA). We have used this approach to interrogate partially redundant pairs of genes in S. cerevisiae, including ASF1 and CAC1, two histone chaperones. After subjecting asf1Δ cac1Δ to TMA, we found that the Swi/Snf Rdh54 protein compensates for the absence of Asf1 and Cac1. Rdh54 more strongly associates with the chromatin apparatus and the pericentromeric region in the double mutant. Moreover, Asf1 is responsible for the synthetic lethality observed in cac1Δ strains lacking the HIRA-like proteins. A similar TMA was carried out after deleting both CLB5 and CLB6, cyclins that regulate DNA replication, revealing a strong functional connection to chromosome segregation. This approach can reveal functional redundancies that cannot be uncovered through traditional double-mutant analyses.

Indexed as

ChromosomesDNA DamageDNA ReplicationSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID23746449
PMCPMC3718395
OpenAlexW1967439841

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.